pages/1_Intro_to_DataScience.py

import streamlit as st

st.markdown(
    """
    <style>
    @import url('https://fonts.googleapis.com/css2?family=Open+Sans:wght@400;600&family=Roboto:wght@300&display=swap');
    
    h1 {
        font-family: 'Open Sans', sans-serif;
        text-align: center;
        font-size: 40px;
        background: linear-gradient(45deg, #FF6F61, #4A90E2);
        color: black;
        -webkit-background-clip: text;
        padding: 10px;
    }
    </style>
    <h1>INTRODUCTION TO DATA SCIENCE</h1>
    """,
    unsafe_allow_html=True)
st.caption("***Transform raw data into groundbreaking insights***")
st.markdown("""
    <div style="text-align: center;">
        <img src ="https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/NKC0jlCUxHAR693zj_PFA.jpeg"
        width = "400"
        style="border-radius: 15px; border: 5px solid #FF6F61; box-shadow: 5px 5px 20px rgba(0, 0, 0, 0.15); transition: transform 0.3s;">
    </div>
    """,
    unsafe_allow_html=True)


st.header(":violet[What is Data Science?...]")

st.markdown(
    """
    <p class="content">
    Data Science is a huge field that combines statistical analysis, programming, machine learning, and domain expertise to extract insights and knowledge from structured and unstructured data. 
    It involves collecting, cleaning, analyzing, and visualizing data to uncover patterns, trends, and actionable insights.
    Data science empowers to solve complex problems, predict future outcomes, and make data-driven decisions in a rapidly evolving world.
    </p>
    """,
    unsafe_allow_html=True)

st.header(":red[Artificial Intelligence]")

st.markdown(
    """
    <p class="content">
    Artificial Intelligence refers to the simulation of human intelligence in machines designed to think, learn, and make decisions like humans.
    We are going to guide the machine to easily copy / mimic the natural intelligence to create their own intelligence known as AI.

    It guides the machine ---> to mimic ---> natural intelligence ---> create their own intelligence ---> known as **Artificial Intelligence**

    For mimicking the natural intelligence to create AI is

    <li>Machine Learning</li>
    <li>Deep Learning</li>
    <li>Generative AI</li>
    </p>
    """,
    unsafe_allow_html=True)

st.markdown("""
    <div style="text-align: center;">
        <img src ="https://cdn-uploads.huggingface.co/production/uploads/66bde9bf3c885d04498227a0/W4a9AwXyID-ON8_uVbwXN.png"
        width = "400"
        style="border-radius: 15px; border: 5px solid #FF6F61; box-shadow: 5px 5px 20px rgba(0, 0, 0, 0.15); transition: transform 0.3s;">
    </div>
    """,
    unsafe_allow_html=True)

st.markdown(
    """
    <p class="content">Because of intelligence there are two capabilities:
    <li>Learning</li>
    <li>Generating</li>
    </p>
    """,
    unsafe_allow_html=True)

st.markdown(
    """
    <p class="content">When machine wants to copy / mimic learning ability of natural intelligence the tools are :
    <li>Machine Learning</li>
    <li>Deep Learning</li>
    </p>
    """,
    unsafe_allow_html=True)

st.markdown(
    """
    <p class="content">When machine wants to copy / mimic generating ability of natural intelligence the tool is :
    <li>Generative AI</li>
    </p>
    """,
    unsafe_allow_html=True)

st.header(":red[What is Machine Learning?...]")

st.markdown(
    """
    <p class="content">
    Machine learning is a tool used when machine wants to copy / mimic the learning ability of natural intelligence.
    <li>AI is a field which has two tools to generate such as ML and DL</li>
    <li>Machine Learning is a sub-field of AI which contains Deep Learning</li>
    <li>Deep Learning subset of ML and AI</li>
    </p>
    """,
    unsafe_allow_html=True)

st.markdown(
    """
    <p class="content">
    If a machine wants to learn something provided by guide:

    <b>Guide ---> Ml ---> it learns ---> Data + Algorithm</b>

    <b>It is learning relationship --> which is actually considered as function</b>
    
    <b>Machine Learning is a relationship mathematically known as function where the relationship is hidden in data and to know the relationship algorithm is used</b>
    </p>
    """,
    unsafe_allow_html=True)